Japan Geoscience Union Meeting 2016

Presentation information

Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI21] Earth and planetary informatics with huge data management

Tue. May 24, 2016 1:45 PM - 3:15 PM A02 (APA HOTEL&RESORT TOKYO BAY MAKUHARI)

Convener:*Ken T. Murata(National Institute of Information and Communications Technology), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Tomoaki Hori(Institute for Space-Earth Environmental Research, Nagoya University), Eizi TOYODA(Forecast Department, Japan Meteorological Agency), Junya Terazono(The University of Aizu), Mayumi Wakabayashi(Kiso-Jiban Consultants Co.,Ltd), Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University), Kazuo Ohtake(Japan Meteorological Agency), Chair:Tomoaki Hori(Institute for Space-Earth Environmental Research, Nagoya University), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology)

2:00 PM - 2:15 PM

[MGI21-14] Scatter Plot-Based Color Map for Multivariate Data Visualization and its Application to Geofluid Simulation Data

*Daisuke Matsuoka1, Fumiaki Araki1, Yumi Inoue1 (1.Japan Agency for Marine-Earth Science and Technology)

Keywords:Feature extraction, Visualization

To understand simulation data from the perspective of multivariable is important in numerical simulation study. This study proposes a new multi-dimensional color map which enables users to extract and visualize characteristic feature with their empirical and intuitive judgment. In the proposed method, data points which represent characteristic feature are selected in a couple of 2-dimensional scatter plots. Extracted data in each 2-variable space are assigned to different color components such as hue, saturation and/or brightness, respectively, in order to classify and specify the characteristic features from multivariate data. We applied the method to high-resolution geofluids simulation data with advices of domain specialists. As a result of case studies, characteristic structures such as ocean currents, eddies and clouds are intuitively extracted and clearly represented with their physical properties. In this presentation, we explain the proposed method in detail and demonstrate the way to use for actual application.